Data scientists typically have to install several different Python libraries to help with analysis. In this video, learn how to install the correct packages (with the associated version) for different files.
- [Instructor] Now in data science, … it's really important that others are able … to reproduce our findings. … So we might send our data out to colleagues … for them to check the work that we've done, … or we might be dealing with healthcare data … where it's really important that our results … can be confirmed, because work can be audited. … Now as machine learning engineers or data scientists, … one of the things that you use a lot are Jupyter Notebooks. … Now one of the problems you often have … is that something works on your computer, … but it doesn't work on someone else's. … Now that's no good, … and this is why Docker is so great. … It gets rid of the problem, … because we ship everything together. … We send the notebook, … we send the software that's required, … and the data. … So let's say I've put together a notebook … to show a summary of the total medals … won by participating countries in the 2008 Olympics. … Now if you're interested, … I've taken both this dataset and the notebook …
- Why Docker is gaining prominence
- Running a container
- Docker under the hood
- Working with Dockerfiles
- Uploading images to Docker Hub
- Common use cases for Docker